Allalou A, Wählby C
Uppsala University, Centre for Image Analysis, Box 337, SE-751 05 Uppsala, Sweden.
Comput Methods Programs Biomed. 2009 Apr;94(1):58-65. doi: 10.1016/j.cmpb.2008.08.006. Epub 2008 Oct 23.
Images can be acquired at high rates with modern fluorescence microscopy hardware, giving rise to a demand for high-speed analysis of image data. Digital image cytometry, i.e., automated measurements and extraction of quantitative data from images of cells, provides valuable information for many types of biomedical analysis. There exists a number of different image analysis software packages that can be programmed to perform a wide array of useful measurements. However, the multi-application capability often compromises the simplicity of the tool. Also, the gain in speed of analysis is often compromised by time spent learning complicated software. We provide a free software called BlobFinder that is intended for a limited type of application, making it easy to use, easy to learn and optimized for its particular task. BlobFinder can perform batch processing of image data and quantify as well as localize cells and point like source signals in fluorescence microscopy images, e.g., from FISH, in situ PLA and padlock probing, in a fast and easy way.
利用现代荧光显微镜硬件可以高速采集图像,这就产生了对图像数据进行高速分析的需求。数字图像细胞术,即从细胞图像中自动测量并提取定量数据,为多种类型的生物医学分析提供了有价值的信息。有许多不同的图像分析软件包,它们可以通过编程来执行一系列有用的测量。然而,多应用能力往往会损害工具的简单性。此外,分析速度的提升常常会因学习复杂软件所花费的时间而受到影响。我们提供了一款名为BlobFinder的免费软件,它针对有限类型的应用,使其易于使用、易于学习,并针对其特定任务进行了优化。BlobFinder可以对图像数据进行批处理,并以快速简便的方式对荧光显微镜图像(例如来自荧光原位杂交、原位邻近连接分析和锁式探针分析)中的细胞以及点状源信号进行定量和定位。